Instructions to use TheLastBen/froggy-style-v21-768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheLastBen/froggy-style-v21-768 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TheLastBen/froggy-style-v21-768", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Froggy Style V2.1
V2.1-768 Model by TheLastBen
This model is trained on 11 Midjourney images 768x768, 1300 steps and 300 steps text_encoder (30% because the total steps is low, normally 15%)
Prompts to start with :
ttdddd , __________, movie, ultra high quality render, high quality graphical details, 8k, volumetric lighting, micro details, (cinematic)
Negative : bad, low-quality, 3d, game
The prompt also can be as simple as the instance name : ttdddd and you will still get great results.
You can also train your own concepts and upload them to the library by using fast-DreamBooth.
Test the concept via A1111 Colab :fast-stable-diffusion-A1111
Sample pictures of this concept:
- Downloads last month
- 31
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)